Using Analytics, Retailers Better Align Customer Understanding to Buying Patterns #iod2010


Spanish Retailer NECK & NECK Improves Customer Relationships,  Increases Sales with IBM Predictive Analytics

ROME, Italy, May 20, 2010 – IBM (NYSE: IBM) today announced that NECK & NECK, a children’s clothing retailer in nine European countries with more than 200 stores, is using IBM predictive analytics software to maximize customer relationships and improve the overall business. Using IBM predictive analytics, NECK & NECK has effectively targeted sales promotions, improving campaign response rates by more than 25 percent and increasing the average amount of consumer purchases by 15 percent in one year.

In April 2010, retail sales continued to show signs of improvement since early 2008, but at a more sluggish pace than in recent months. In a still uncertain economy, retailers today need to spot trends early and proactively reach customers, rather than react to demand. IBM predictive analytics gives retailers real foresight about customer trends and deeper customer understanding and increases the overall lifetime client value.

With IBM predictive analytics, NECK & NECK can now leverage and analyze large amounts of customer data instantly on profitability, purchasing, demographics and buying behavior from its Club NECK loyalty program to improve segmentation, and discover and connect the most profitable customers with its marketing campaigns.

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